Find Academic Supervisors

Dana RowangouldView profile

Assistant Professor

• Transportation equity and justice
• rural travel behavior
• accessibility measurement
• +4 more

Dana Rowangould serves as Assistant Professor in the Department of Civil and Environmental Engineering at the University of Vermont's College of Engineering and Mathematical Sciences. Her interdisciplinary work bridges engineering, economics, and social sciences to address transportation system challenges, with particular focus on improving mobility for constrained-travel populations. Her educational background includes: Ph.D. in Ecology (Environmental Policy emphasis) from University of California, Davis M.S. in Agricultural and Resource Economics from University of California, Davis B.S. in Civil and Environmental Engineering from Rice University Dr. Rowangould's research centers on transportation equity and justice , rural travel behavior , and accessibility measurement , with significant contributions to understanding rural mobility constraints, transit recovery post-pandemic, and policy impacts on vulnerable populations. Her methodology integrates spatial analysis, behavioral studies, and policy evaluation to develop equitable transportation solutions. Recent publications reveal a pronounced focus on rural transportation challenges, including travel burdens among migrant communities, wildfire evacuation safety, and electric vehicle adoption barriers. Her work increasingly addresses contemporary policy shifts through the lens of transportation justice, examining how anti-DEI movements impact mobility access while developing practical tools for accessibility measurement. As founder of Sustainable Systems Research, she has partnered with community organizations on transportation health impact assessments. Her teaching at the University of Washington included Health and Sustainable Transportation and Transportation Economics courses. Current affiliations include the Transportation Research Center where she contributes to Vermont Transportation Energy Profile initiatives and pedestrian safety evaluations in rural contexts.

Zicheng ChiView profile

Assistant Professor

• Internet of Things (IoT)
• Cyber-Physical Systems
• Wireless Networks
• +5 more

Zicheng Chi is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Cleveland State University. His research focuses on Internet of Things (IoT) and cyber-physical systems, with expertise in wireless networks, embedded systems, and RF sensing. Ph.D. in Computer Engineering, University of Maryland, Baltimore County (2020) M.E. in Microelectronics and Solid Electronics, South China University of Technology (2011) B.S. in Electronic Information Science and Technology, Lanzhou University (2007) Chi's work explores fundamental networking and energy challenges in IoT, including LTE backscatter systems, cross-technology communication protocols, and interference-negligible RF sensing. His research bridges communication efficiency and security in heterogeneous IoT environments. Recent publications demonstrate expertise in high-throughput backscatter (2024), secure asymmetric communication (2024), vehicle-to-vehicle perception (2023), and tactical IoT protocols (2022). His work spans wireless network optimization, security mechanisms, and energy-efficient system design. Best Paper Award Candidate, SenSys 2019 Best Paper Runner-up, SenSys 2018 Chi teaches graduate and undergraduate courses in computer networks, data communication, and system programming. His NSF-funded SWIFT project investigates spectrum coexistence in IoT systems.

Zhi LiView profile

Assistant Professor

• Hydrological Modeling
• Flood Prediction
• Drought Monitoring
• +9 more

Zhi Li is an Assistant Professor at the University of Colorado Boulder's College of Engineering and Applied Science, Department of Civil, Environmental and Architectural Engineering. He leads the newly established Flood Lab, focusing on flood prediction and monitoring through remote sensing and coupled hydrologic-hydraulic models. Joined CU Boulder in Fall 2025 Former Dean's Postdoc Fellow at Stanford University PhD in Civil Engineering & Environmental Science from University of Oklahoma (2022) His research spans hydrological modeling , extreme events , and AI4Science applications, particularly in deep learning and intelligent agents for flood risk assessment. Li’s work also connects floods with public health and economic systems , aiming to develop the Flood-Agriculture-Climate-Economics-Disease (FACED) framework. Key Themes: High-resolution flood modeling Climate change impacts on hydro-meteorology Remote sensing integration Flood-agriculture interdependencies Global health implications Scientific Awards: Dean's Postdoc Fellow, Stanford Doerr School of Sustainability (2023) Hoving Fellowship, University of Oklahoma (2019) Li’s recent publications emphasize improved precipitation estimation (IMERG V07), Brown Ocean Effect studies, and Fourier neural operators for rapid flood forecasting. His collaborative work with NOAA and NASA focuses on comparing ground-based and spaceborne radar systems for extreme event analysis.

Noah P. MolotchView profile

Professor

• Mountain Hydrology
• Snow Hydrology
• Ecohydrology
• +4 more

Noah P. Molotch is a Professor in the Department of Geography at the University of Colorado Boulder, leading the Mountain Hydrology Group and affiliated with the Cryosphere and Surface Processes Lab and Niwot Ridge Long-Term Ecological Research program. His work integrates ground observations, remote sensing, and computational modeling to advance understanding of mountain hydrology, water resources, and ecohydrology in changing climates. His educational background includes: PhD in Hydrology and Water Resources from the University of Arizona (2004) MS in Environmental Science and Management from the University of California, Santa Barbara (2000) BA from the University of Colorado Boulder (1997) Molotch's research focuses on snow hydrology , ecohydrology , and remote sensing with emphasis on snowmelt distribution, soil moisture dynamics, and streamflow generation. He investigates how climate change alters snowpack characteristics and hydrological partitioning, affecting forest productivity and carbon cycling in montane ecosystems. His work spans from the Colorado Front Range to Chilean Andes, addressing critical water security challenges through field studies and satellite data integration. Recent publications (2024-2025) reveal three dominant research thrusts: (1) Advanced snow water equivalent estimation using machine learning and airborne remote sensing, (2) Climate impacts on snowmelt timing and hydrological partitioning across mountain systems, and (3) Ecohydrological feedbacks between snow dynamics and vegetation productivity. These studies increasingly incorporate drone-based multispectral imaging and cross-scale data fusion to resolve spatial heterogeneity in alpine environments. Molotch mentors PhD students Millie Spencer and Emma Tyrrell, with Spencer documenting glacier retreat in Chile through CUAHSI-funded research. His group has secured significant grants from the U.S. Bureau of Reclamation for developing operational snowpack datasets, while collaborating with NASA, NOAA, and water management agencies on real-time monitoring systems. Community engagement includes art-science collaborations like the Colorado Arts Science Environment Program to communicate climate impacts. The Mountain Hydrology Group operates cutting-edge facilities including the Cryosphere and Surface Processes Lab and contributes to the Niwot Ridge Long-Term Ecological Research site. They deploy airborne lidar, drone-based thermal imaging, and wireless sensor networks to map snow properties at unprecedented resolutions, directly informing water resource management during drought and flood events across the Western U.S.

Stavrakakis IoannisView profile

Professor

• Networking
• Wireless Communication
• Distributed Systems
• +5 more

Stavrakakis Ioannis is a Professor at the Department of Informatics and Telecommunications, School of Science, University of Athens, where he has served since 2002. He previously held academic positions at Northeastern University (1994-1999) and University of Vermont (1988-1994). Ph.D., Electrical Engineering (1988), University of Virginia Diploma, Electrical Engineering (1983), Aristotle University of Thessaloniki His research focuses on network resource allocation algorithms , cooperative content dissemination , mobile ad hoc networks , and privacy-aware protocols . He leads the Advanced Networking Research (ANR) Group. Recent publications highlight trends in AI-driven network optimization , edge computing for VR , drone-assisted sensor networks , and privacy in vehicular systems . Key themes include game theory applications, energy-efficient protocols, and distributed learning frameworks. Contact: ioannis@di.uoa.gr

Jonathan KingslakeView profile

Associate Professor

• Geophysics
• Arctic Studies
• Cryosphere
• +3 more

Jonathan Kingslake is an Associate Professor in the Department of Earth and Environmental Sciences at Columbia University and a member of the Lamont-Doherty Earth Observatory. His research focuses on glaciology, subglacial and supraglacial hydrology, and ice sheet dynamics. He holds a BSc in Physics from the University of York and a PhD in Glaciology from the University of Sheffield. Prior to Columbia, he worked as a Glacier Geophysicist at the British Antarctic Survey. His work integrates field observations, remote sensing, and mathematical modeling to improve understanding of glacial processes and climate impacts. Education: B.Sc. Physics, University of York (2009) Ph.D. Glaciology, University of Sheffield (2013) Key Research Themes: Subglacial and supraglacial water dynamics West Antarctic Ice Sheet evolution Ice shelf stability and meltwater mechanisms Glacial lake formation and drainage Fieldwork Experience: Antarctica (2013–2015): Radar and GPS measurements of ice flow Greenland (2017): Meltwater refreezing studies Juneau Icefield (2018): Firn compaction and ice core sampling Grants & Collaborations: NSF-funded projects on Antarctic ice shelf dynamics Lenfest Junior Faculty Development Grant (Juneau Icefield fieldwork) Part of the Polar Geophysics Group at Lamont Lab/Team: Advises a group of students and postdocs in the Polar Geophysics Group, focusing on interdisciplinary approaches to glacial processes.

Gabriele BernardiniView profile

Researcher

• Urban Risk Assessment
• Built Environment Safety
• Disaster Management
• +4 more

Gabriele Bernardini is a Researcher at the Department of Civil, Building and Architectural Engineering within the Faculty of Engineering at Università Politecnica delle Marche (UNIVPM) in Ancona, Italy. His office is located at via brecce bianche 12, Ancona in the DICEA, Construction Section (quota 150), where he holds office hours on Wednesdays from 9-11 AM. His work focuses on the intersection of built environment safety, risk assessment, and innovative technological applications for urban resilience. Dr. Bernardini's research interests center on multi-risk assessment and mitigation in urban built environments, particularly addressing flood risks, terrorist threats, and heatwave vulnerabilities in historical contexts. His work employs innovative methodologies including virtual reality simulations, behavioral design approaches, and data-driven predictive models. He has developed frameworks for measuring user exposure and vulnerability, optimizing evacuation paths, and creating integrated wayfinding systems for emergency situations. His research bridges the gap between theoretical risk assessment and practical implementation in real-world urban settings, with a special focus on preserving historical character while enhancing safety. Analysis of his recent publications (2021-2025) reveals a consistent focus on multi-risk scenarios in urban environments, particularly examining how different hazards interact in historical settings. His work demonstrates increasing sophistication in methodology, moving from basic risk assessment to integrated multi-risk frameworks that consider user behavior, environmental factors, and technological solutions. A significant portion of his research applies virtual reality and extended reality technologies to safety training and evacuation planning, showing the evolution from theoretical models to practical applications with real-world testing. His research has practical applications across multiple domains including urban planning, emergency management, and building maintenance. Through his work on automatic detection systems using maintenance requests and predictive management approaches, he's contributing to more responsive building management practices. His case studies on specific locations like Matera demonstrate the translation of theoretical frameworks into context-specific solutions for historic urban environments.

Gian Pietro PiccoView profile

Professor

• Building Automation
• Pervasive Computing
• Software Engineering
• +12 more

Gian Pietro Picco is a Full Professor at the Department of Information Engineering and Computer Science (DISI) at the University of Trento, Italy. His research focuses on wireless networks, particularly ultra-wideband (UWB) technology, wireless sensor networks, and cyber-physical systems. He teaches courses including Distributed Systems, Low-power wireless networking for the Internet of Things, and Programming 2. Professor Picco's research interests span several interconnected domains in pervasive computing and networking: Ultra-wideband (UWB) technology for precise localization and communication Wireless sensor networks and Internet of Things (IoT) systems Cyber-physical systems and networked control Energy-efficient networking protocols Distributed systems and middleware Software engineering approaches for networked embedded systems His recent publications demonstrate a strong focus on ultra-wideband technology applications, particularly in localization, ranging, and concurrent transmissions. His work bridges theoretical foundations with practical implementations, often addressing real-world challenges in human-robot interaction, contact tracing, and infrastructure monitoring. A notable trend is the increasing application of UWB technology for precise positioning in complex environments, with significant contributions to understanding and mitigating human occlusion effects on ranging accuracy. Professor Picco has received numerous prestigious awards for his research contributions: Best Paper Award at IPSN'23 for "Network On or Off? Instant Global Binary Decisions over UWB with Flick" Best Paper Award at IPIN 2019 for "TALLA: Large-scale TDoA Localization with Ultra-wideband Radios" Best Paper Award at EWSN 2018 for "Concurrent Ranging in Ultra-wideband Radios" Best Paper Award at IPSN 2015 for "Geo-referenced Proximity Detection of Wildlife" Best Paper Award at IPSN 2011 for "Wireless Sensor Networks for Adaptive Lighting in Road Tunnels" Best Paper Award at IPSN 2009 for "Monitoring Heritage Buildings with Wireless Sensor Networks" Mark Weiser Best Paper Award at PerCom 2012 Professor Picco actively advises numerous PhD and Master's students, with several of his advisees becoming prominent researchers in wireless networking. His laboratory has secured significant funding for research projects in wireless sensor networks, IoT systems, and cyber-physical systems. His work has practical applications in heritage building monitoring, wildlife tracking, road tunnel lighting systems, and pandemic contact tracing. His research group maintains the Cloves large-scale ultra-wideband testbed and has developed several middleware systems for wireless sensor networks, including Lime and TeenyLIME. The group collaborates extensively with international research institutions and has made significant contributions to standardization efforts in IoT networking protocols.

Yeo Howe LimView profile

Professor

• Water Resources Engineering
• Hydrologic Modeling
• Open Channel Hydraulics
• +5 more

Dr. Yeo Howe Lim is a Professor and Department Chair of Civil Engineering at the University of North Dakota, with a focus on water resources engineering. He serves as Graduate Program Director for Civil and Environmental Engineering, teaching courses in fluid mechanics, hydrology, and applied hydraulics. Education: BEng & MEng from University of Canterbury, PhD from Memorial University of Newfoundland Research Areas: Open channel hydraulics, flood frequency analysis, streambank stabilization, urban stream revitalization, cold region hydrodynamics His research explores climate change impacts on flood patterns, hydrodynamic modeling of wetlands, and innovative use of Unmanned Surface Vehicles for aquatic studies. Recent publications emphasize lithium extraction technologies in oilfields, distributed Muskingum flood routing models, and optimization algorithms for cold climate water systems. Scientific awards include the Dean’s Outstanding Faculty Award (2013), ASCE Outstanding Reviewer recognition (2009), and the Institution of Civil Engineers (UK) Overseas Prize (2001). He has supervised numerous graduate students in hydrological modeling, including Mohammed Almousa and Vahid Atashi. Current projects involve HYCAT technology for bridge scour assessment, LiDAR bathymetry modeling, and climate change adaptation tools for cold region water management. His work bridges computational hydrology, hydraulic structure design, and sustainable water resource solutions.

Virgil D. GligorView profile

Professor

• Network and Distributed Systems Security
• Distributed Systems
• Applied Cryptography
• +3 more

Virgil D. Gligor is a Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He serves as Co-Director of CyLab, CMU's cybersecurity research center. His academic career spans over four decades, with a Ph.D. (1976) and M.Sc. (1973) from UC Berkeley, preceded by a B.Sc. (1972) in Electrical Engineering. His research focuses on network and distributed systems security, applied cryptography, and formal methods, with contributions to sensor network security, ad-hoc network trust models, and cryptographic protocol design. Recent work includes pioneering secure communication architectures (e.g., MiniSec), distributed detection of node replication attacks, and formal verification of security protocols. He has received prestigious recognitions, including induction into the Cybersecurity Hall of Fame (2019) and a Distinguished Paper Award at the NDSS Symposium (2019). His teaching includes courses on applied cryptography and network security. Current projects involve designing secure tactical mobile ad-hoc networks (MURI grant) and dynamic coalition management systems. Dr. Gligor’s work bridges theoretical foundations with practical implementations, emphasizing provable security guarantees even in compromised environments. His lab develops cryptographic primitives and security frameworks for modern distributed systems, addressing challenges in IoT, sensor networks, and coalition resource management.

Julianne ScamardoView profile

Assistant Professor

• Fluvial Geomorphology
• River Dynamics
• Floodplain Heterogeneity
• +5 more

Julianne Scamardo serves as Assistant Professor in the Department of Watershed Sciences at Utah State University, appointed in August 2024. Her research bridges fluvial geomorphology and ecosystem resilience, focusing on river-floodplain interactions in disturbance-prone environments. Education: PhD in Fluvial Geomorphology (Geosciences), Colorado State University, 2023 MS in Geosciences, Colorado State University, 2019 BS in Environmental Science (Emphasis: Geosciences), The University of Texas, 2017 Research Focus: Dr. Scamardo investigates form-function relationships in fluvial systems to predict resilience against floods, fires, and droughts. Her work centers on temporary storage mechanisms for water, sediment, and organic matter across floodplains, wetlands, and non-perennial streams. She pioneers field-measurement techniques , open-access modeling tools , and low-cost remote sensing applications for real-world implementation beyond academic settings. Publication Trends: Her 2025 publications reveal converging expertise in floodplain classification using topographic data, river-flood dynamics modeling, and policy analysis of rangeland restoration. These works demonstrate methodological integration of high-resolution geospatial analysis with practical restoration frameworks for western U.S. ecosystems. Academic Engagement: Actively recruiting graduate and undergraduate researchers for her laboratory, Dr. Scamardo teaches WATS 3700 (Fundamentals of Watershed Science) while developing community-focused restoration approaches. She emphasizes accessible science translation for land managers and policymakers through low-tech process-based restoration initiatives.

Mecit CetinView profile

Professor

• Intelligent Transportation Systems
• Traffic Flow Theory
• Connected and Automated Vehicles
• +4 more

Dr. Mecit Cetin is a Professor at Old Dominion University (ODU) and Director of the Transportation Research Institute (TRI). He specializes in Intelligent Transportation Systems (ITS), connected/automated vehicles, traffic flow theory, and infrastructure resilience. His academic background includes a Ph.D. in Transportation Engineering from Rensselaer Polytechnic Institute (2002), an M.S. in Civil Engineering (1999), and a B.S. from Boğaziçi University (1995). Research focuses on big data analytics for traffic prediction, congestion pricing, and floodwater detection using LIDAR and computer vision. He has secured over $3M in grants including Federal funding for SMARTc systems and state projects on truck turnaround reduction. Notable awards include the 2011 Best Paper Award at the World Congress on Intelligent Transport Systems and multiple Shining Star Awards from ODU. Key projects include developing auction-based tolling systems for connected vehicles, enhancing traffic signal control with probe data, and modeling secondary incident impacts. His work bridges transportation engineering with emerging technologies like IoT and AI. Dr. Cetin collaborates with state agencies (VDOT) and institutions like EVMS. His lab develops tools for urban flood monitoring, eco-routing algorithms, and safety service patrol optimization using discrete-event simulation.

Francesco PillaView profile

Professor

• Smart Cities
• Geospatial Analysis
• Environmental Modeling
• +7 more

Professor Francesco Pilla is a Full Professor of Smart and Sustainable Cities at University College Dublin's School of Architecture, Planning and Environmental Policy, where he also serves as Co-Director of the Spatial Dynamics Lab. Previously, he held positions as MSc Director (2018-2019) and Undergraduate Director for the School of Architecture. With over 15 years of experience in GIS modeling and spatial data analysis, Professor Pilla's work bridges technology, urban planning, and community engagement to create more sustainable cities. Professor Pilla's research focuses on developing geospatial analysis tools and environmental pollution models (air, noise, water) using GIS platforms to facilitate interoperability between research teams and end users. His approach integrates environmental pollution models with pervasive and community sensing applications for calibration and validation. A key innovation in his work is the integration of co-design principles through Living Labs in urban planning and citizen science initiatives to improve city life from an environmental perspective. His recent publications reveal a strong focus on urban sustainability challenges, with significant contributions to air quality monitoring, sustainable transportation, climate adaptation, and citizen science methodologies. His work increasingly incorporates advanced AI techniques, including large language models and machine learning algorithms, to analyze urban systems and develop data-driven solutions for complex environmental problems. The research demonstrates a clear trend toward integrating diverse data sources and developing practical tools for urban governance and planning. Haagen-Smit Prize (2024) - Recognizing outstanding papers published in Atmospheric Environment Best eMobility Project - Electric Vehicle Awards 2024 All Ireland community & council awards - Best Community Transport Initiative 2024 Academic research award: tipping point for action from Financial Times (2023) Professor Pilla leads numerous significant research projects including iSCAPE (H2020-SC5) as Coordinator, OPERANDUM (Principal Investigator for UCD) focusing on flood risk reduction with nature-based solutions, WeCount (Principal Investigator for UCD), and Connecting Nature (Principal Investigator for UCD). He has also secured funding through SFI Investigator grants for 'Scalable, Privacy-Enhanced Analytics for sharing mobility systems' and several Environmental Protection Agency projects. His collaborative work extends to partnerships with MIT through Fulbright/EPA TechImpact awards and IBM through Faculty Awards. At the Spatial Dynamics Lab, Professor Pilla oversees research that combines geospatial analysis, environmental monitoring, and community engagement. His innovative 'Bike Library' initiative, which has expanded to multiple schools in Dublin, exemplifies his commitment to translating research into practical community solutions. The lab's work integrates advanced sensing technologies, GIS platforms, and citizen science to address urban environmental challenges through collaborative approaches.

• Marine Geology
• Ocean Mapping
• Submarine Geomorphology
• +3 more

Robin Beaman is an Adjunct Senior Research Fellow at James Cook University in Cairns, Australia. With over 30 years of experience, he specializes in marine geology and ocean mapping, focusing on submerged geological features and their ecological implications. Research Interests : Drowned reefs, mesophotic coral ecosystems, submarine canyons, turbidite sediment flows, underwater landslides, and deep-water marine life Projects : GBR Marine Park mapping, Queensland Coastline Capture, Crowdsourced bathymetry, and Antarctic marine census initiatives His work develops 3D depth models of the Great Barrier Reef and Coral Sea, integrating geological and ecological data. Recent publications focus on Halimeda bioherms, carbonate platform drowning, and benthic community distributions across depth gradients. While no awards are listed, his research spans interdisciplinary collaborations with academic, government, and industry partners.

Faezeh Maghami NickView profile

Assistant Professor

• Glaciology
• Climate Change
• Hydrology
• +3 more

Dr. Faezeh Maghami Nick is an Assistant Professor in Physical Geography at the Faculty of Geosciences, Utrecht University. She holds a PhD in glaciology and specializes in glacier dynamics, numerical modeling, and climate change impacts. Her work focuses on ice-ocean interaction, calving behaviors, and proglacial lake formation, using satellite remote sensing and field observations. She is active in sustainability initiatives, particularly in Greenland and Tajikistan through her charitable organization. Education: PhD in Geosciences (Utrecht University, 2006). Research interests include glacial lake outburst floods (GLOFs), ice sheet modeling, and climate-driven glacial retreat. She has contributed to over 25 peer-reviewed publications, emphasizing Greenland and Arctic glaciology. Research highlights include modeling Petermann Glacier stability and quantifying future sea-level contributions from Greenland's outlet glaciers. Her work bridges field studies with computational models to address climate change impacts on cryospheric systems.